Affine Geometry

Total Page:16

File Type:pdf, Size:1020Kb

Affine Geometry CHAPTER II AFFINE GEOMETRY In the previous chapter we indicated how several basic ideas from geometry have natural interpretations in terms of vector spaces and linear algebra. This chapter continues the process of formulating basic geometric concepts in such terms. It begins with standard material, moves on to consider topics not covered in most courses on classical deductive geometry or analytic geometry, and it concludes by giving an abstract formulation of the concept of geometrical incidence and closely related issues. 1. Synthetic affine geometry In this section we shall consider some properties of Euclidean spaces which only depend upon the axioms of incidence and parallelism Definition. A three-dimensional incidence space is a triple (S; L; P) consisting of a nonempty set S (whose elements are called points) and two nonempty disjoint families of proper subsets of S denoted by L (lines) and P (planes) respectively, which satisfy the following conditions: (I { 1) Every line (element of L) contains at least two points, and every plane (element of P) contains at least three points. (I { 2) If x and y are distinct points of S, then there is a unique line L such that x; y 2 L. Notation. The line given by (I {2) is called xy. (I { 3) If x, y and z are distinct points of S and z 62 xy, then there is a unique plane P such that x; y; z 2 P . (I { 4) If a plane P contains the distinct points x and y, then it also contains the line xy. (I { 5) If P and Q are planes with a nonempty intersection, then P \ Q contains at least two points. Of course, the standard example in R3 with lines and planes defined by the formulas in Chapter I (we shall verify a more general statement later in this chapter). A list of other simple examples appears in Prenowitz and Jordan, Basic Concepts of Geometry, pp. 141{146. A few theorems in Euclidean geometry are true for every three-dimensional incidence space. The proofs of these results provide an easy introduction to the synthetic techniques of these notes. In the first six results, the triple (S; L; P) denotes a fixed three-dimensional incidence space. Definition. A set B of points in S is collinear if there is some line L in S such that B ⊂ L, and it is noncollinear otherwise. A set A of points in S is coplanar if there is some plane P in S such that A ⊂ P , and it is noncoplanar otherwise. | Frequently we say that the points x; y; · · · (etc:) are collinear or coplanar if the set with these elements is collinear or coplanar respectively. 7 8 II. AFFINE GEOMETRY Theorem II.1. Let x, y and z be distinct points of S such that z 62 xy. Then f x; y; z g is a noncollinear set. Proof. Suppose that L is a line containing the given three points. Since x and y are distinct, by (I { 2) we know that L = xy. By our assumption on L it follows that z 2 L; however, this contradicts the hypothesis z 62 xy. Therefore there is no line containing x, y and z. Theorem II.2. There is a subset of four noncoplanar points in S. Proof. Let P be a plane in S. We claim that P contains three noncollinear points. By (I { 1) we know that P contains three distinct points a; b; c0. If these three points are noncollinear, let c = c0. If they are collinear, then the line L containing them is a subset of P by (I { 4), and since L and P are disjoint it follows that L must be a proper subset of P ; therefore there is some point c 2 P such that c 62 L, and by the preceding result the set f a; b; c g is noncollinear. Thus in any case we know that P contains three noncollinear points. Since P is a proper subset of S, there is a point d 2 S such that d 62 P . We claim that f a; b; c d g is noncoplanar. For if Q were a plane containing all four points, then a; b; c 2 P would imply P = Q, which contradicts our basic stipulation that d 62 P . Theorem II.3. The intersection of two distinct lines in S is either a point or the empty set. Proof. Suppose that x 6= y but both belong to L \ M for some lines L and M. By property (I { 2) we must have L = M. Thus the intersection of distinct lines must consist of at most one point. Theorem II.4. The intersection of two distinct planes in S is either a line or the empty set. Proof. Suppose that P and Q are distinct planes in S with a nonempty intersection, and let x 2 P \ Q. By (I { 5) there is a second point y 2 P \ Q. If L is the line xy, then L ⊂ P and L ⊂ Q by two applications of (I { 4); hence we have L ⊂ P \ Q. If there is a point z 2 P \ Q with z 62 L, then the points x, y and z are noncollinear but contained in both of the planes P and Q. By (I { 3) we must have P = Q. On the other hand, by assumption we know P 6= Q, so we have reached a contradiction. The source of this contradiction is our hypothesis that P \ Q strictly contains L, and therefore it follows that P \ Q = L. Theorem II.5. Let L and M be distinct lines, and assume that L \ M 6= ?. Then there is a unique plane P such that L ⊂ P and M ⊂ P . In less formal terms, given two intersecting lines there is a unique plane containing them. Proof. Let x 2 L \ M be the unique common point (it is unique by Theorem 3). By (I { 2) there exist points y 2 L and z 2 M, each of which is distinct from x. The points x, y and z are noncollinear because L = xy and z 2 M − fxg = M − L. By (I { 3) there is a unique plane P such that x; y; z 2 P , and by (I { 4) we know that L ⊂ P and M ⊂ P . This proves the existence of a plane containing both L and M. To see this plane is unique, observe that every plane Q containing both lines must contain x, y and z. By (I { 3) there is a unique such plane, and therefore we must have Q = P . 1. SYNTHETIC AFFINE GEOMETRY 9 Theorem II.6. Given a line L and a point z not on L, there is a unique plane P such that L ⊂ P and z 2 P . Proof. Let x and y be distinct points of L, so that L = xy. We then know that the set f x; y; z g is noncollinear, and hence there is a unique plane P containing them. By (I { 4) we know that L ⊂ P and z 2 P . Conversely, if Q is an arbitrary plane containing L and z, then Q contains the three noncollinear points x, y and z, and hence by (I { 3) we know that Q = P . Notation. We shall denote the unique plane in the preceding result by Lz. Of course, all the theorems above are quite simple; their conclusions are probably very clear intuitively, and their proofs are fairly straightforward arguments. One must add Hilbert's Ax- ioms of Order or the Euclidean Parallelism Axiom to obtain something more substantial. Since our aim is to introduce the parallel postulate at an early point, we might as well do so now (a thorough treatment of geometric theorems derivable from the Axioms of Incidence and Order appears in Chapter 12 of Coxeter, Introduction to Geometry; we shall discuss the Axioms of Order in Section VI.6 of these notes). Definition. Two lines in a three-dimensional incidence space S are parallel if they are disjoint and coplanar (note particularly the second condition). If L and L0 are parallel, we shall write LjjL0 and denote their common plane by LL0. Note that if LjjM then MjjL because the conditions in the definition of parallelism are symmetric in the two lines. Affine three-dimensional incidence spaces Definition. A three-dimensional incidence space (S; L; P) is an affine three-space if the following holds: (EPP) For each line L in S and each point x 62 L there is a unique line L0 ⊂ Lx such that x 2 L and L \ L0 = ? (in other words, there is a unique line L0 which contains x and is parallel to L). This property is often called the Euclidean Parallelism Property, the Euclidean Parallel Postu- late or Playfair's Postulate (see the previously cited online reference for background on these names). A discussion of the origin of the term “affine” appears in Section II.5 of the following online site: http://math.ucr.edu/∼res/math133/geomnotes2b.pdf Many nontrivial results in Euclidean geometry can be proved for arbitrary affine three-spaces. We shall limit ourselves to two examples here and leave others as exercises. In Theorems 7 and 8 below, the triple (S; L; P) will denote an arbitrary affine three-dimensional incidence space. Theorem II.7. Two lines which are parallel to a third line are parallel. 10 II. AFFINE GEOMETRY Proof. There are two cases, depending on whether or not all three lines lie in a single plane; to see that the three lines need not be coplanar in ordinary 3-dimensional coordinate geometry, consider the three lines in R3 given by the z-axis and the lines joining (1; 0; 0) and (0; 1; 0) to (1; 0; 1) and (0; 1; 1) respectively.
Recommended publications
  • Projective Geometry: a Short Introduction
    Projective Geometry: A Short Introduction Lecture Notes Edmond Boyer Master MOSIG Introduction to Projective Geometry Contents 1 Introduction 2 1.1 Objective . .2 1.2 Historical Background . .3 1.3 Bibliography . .4 2 Projective Spaces 5 2.1 Definitions . .5 2.2 Properties . .8 2.3 The hyperplane at infinity . 12 3 The projective line 13 3.1 Introduction . 13 3.2 Projective transformation of P1 ................... 14 3.3 The cross-ratio . 14 4 The projective plane 17 4.1 Points and lines . 17 4.2 Line at infinity . 18 4.3 Homographies . 19 4.4 Conics . 20 4.5 Affine transformations . 22 4.6 Euclidean transformations . 22 4.7 Particular transformations . 24 4.8 Transformation hierarchy . 25 Grenoble Universities 1 Master MOSIG Introduction to Projective Geometry Chapter 1 Introduction 1.1 Objective The objective of this course is to give basic notions and intuitions on projective geometry. The interest of projective geometry arises in several visual comput- ing domains, in particular computer vision modelling and computer graphics. It provides a mathematical formalism to describe the geometry of cameras and the associated transformations, hence enabling the design of computational ap- proaches that manipulates 2D projections of 3D objects. In that respect, a fundamental aspect is the fact that objects at infinity can be represented and manipulated with projective geometry and this in contrast to the Euclidean geometry. This allows perspective deformations to be represented as projective transformations. Figure 1.1: Example of perspective deformation or 2D projective transforma- tion. Another argument is that Euclidean geometry is sometimes difficult to use in algorithms, with particular cases arising from non-generic situations (e.g.
    [Show full text]
  • Lecture 3: Geometry
    E-320: Teaching Math with a Historical Perspective Oliver Knill, 2010-2015 Lecture 3: Geometry Geometry is the science of shape, size and symmetry. While arithmetic dealt with numerical structures, geometry deals with metric structures. Geometry is one of the oldest mathemati- cal disciplines and early geometry has relations with arithmetics: we have seen that that the implementation of a commutative multiplication on the natural numbers is rooted from an inter- pretation of n × m as an area of a shape that is invariant under rotational symmetry. Number systems built upon the natural numbers inherit this. Identities like the Pythagorean triples 32 +42 = 52 were interpreted geometrically. The right angle is the most "symmetric" angle apart from 0. Symmetry manifests itself in quantities which are invariant. Invariants are one the most central aspects of geometry. Felix Klein's Erlanger program uses symmetry to classify geome- tries depending on how large the symmetries of the shapes are. In this lecture, we look at a few results which can all be stated in terms of invariants. In the presentation as well as the worksheet part of this lecture, we will work us through smaller miracles like special points in triangles as well as a couple of gems: Pythagoras, Thales,Hippocrates, Feuerbach, Pappus, Morley, Butterfly which illustrate the importance of symmetry. Much of geometry is based on our ability to measure length, the distance between two points. A modern way to measure distance is to determine how long light needs to get from one point to the other. This geodesic distance generalizes to curved spaces like the sphere and is also a practical way to measure distances, for example with lasers.
    [Show full text]
  • Notes 20: Afine Geometry
    Notes 20: Afine Geometry Example 1. Let C be the curve in R2 defined by x2 + 4xy + y2 + y2 − 1 = 0 = (x + 2y)2 + y2 − 1: If we set u = x + 2y; v = y; we obtain u2 + v2 − 1 = 0 which is a circle in the u; v plane. Let 2 2 F : R ! R ; (x; y) 7! (u = 2x + y; v = y): We look at the geometry of F: Angles: This transformation does not preserve angles. For example the line 2x + y = 0 is mapped to the line u = 0; and the line y = 0 is mapped to v = 0: The two lines in the x − y plane are not orthogonal, while the lines in the u − v plane are orthogonal. Distances: This transformation does not preserve distance. The point A = (−1=2; 1) is mapped to a = (0; 1) and the point B = (0; 0) is mapped to b = (0; 0): the distance AB is not equal to the distance ab: Circles: The curve C is an ellipse with axis along the lines 2x + y = 0 and x = 0: It is mapped to the unit circle in the u − v plane. Lines: The map is a one-to-one onto map that maps lines to lines. What is a Geometry? We can think of a geometry as having three parts: A set of points, a special set of subsets called lines, and a group of transformations of the set of points that maps lines to lines. In the case of Euclidean geometry, the set of points is the familiar plane R2: The special subsets are what we ordinarily call lines.
    [Show full text]
  • (Finite Affine Geometry) References • Bennett, Affine An
    MATHEMATICS 152, FALL 2003 METHODS OF DISCRETE MATHEMATICS Outline #7 (Finite Affine Geometry) References • Bennett, Affine and Projective Geometry, Chapter 3. This book, avail- able in Cabot Library, covers all the proofs and has nice diagrams. • “Faculty Senate Affine Geometry”(attached). This has all the steps for each proof, but no diagrams. There are numerous references to diagrams on the course Web site, however, and the combination of this document and the Web site should be all that you need. • The course Web site, AffineDiagrams folder. This has links that bring up step-by-step diagrams for all key results. These diagrams will be available in class, and you are welcome to use them instead of drawing new diagrams on the blackboard. • The Windows application program affine.exe, which can be downloaded from the course Web site. • Data files for the small, medium, and large affine senates. These accom- pany affine.exe, since they are data files read by that program. The file affine.zip has everything. • PHP version of the affine geometry software. This program, written by Harvard undergraduate Luke Gustafson, runs directly off the Web and generates nice diagrams whenever you use affine geometry to do arithmetic. It also has nice built-in documentation. Choose the PHP- Programs folder on the Web site. 1. State the first four of the five axioms for a finite affine plane, using the terms “instructor” and “committee” instead of “point” and “line.” For A4 (Desargues), draw diagrams (or show the ones on the Web site) to illustrate the two cases (three parallel lines and three concurrent lines) in the Euclidean plane.
    [Show full text]
  • Lecture 5: Affine Graphics a Connect the Dots Approach to Two-Dimensional Computer Graphics
    Lecture 5: Affine Graphics A Connect the Dots Approach to Two-Dimensional Computer Graphics The lines are fallen unto me in pleasant places; Psalms 16:6 1. Two Shortcomings of Turtle Graphics Two points determine a line. In Turtle Graphics we use this simple fact to draw a line joining the two points at which the turtle is located before and after the execution of each FORWARD command. By programming the turtle to move about and to draw lines in this fashion, we are able to generate some remarkable figures in the plane. Nevertheless, the turtle has two annoying idiosyncrasies. First, the turtle has no memory, so the order in which the turtle encounters points is crucial. Thus, even though the turtle leaves behind a trace of her path, there is no direct command in LOGO to return the turtle to an arbitrary previously encountered location. Second, the turtle is blissfully unaware of the outside universe. The turtle carries her own local coordinate system -- her state -- but the turtle does not know her position relative to any other point in the plane. Turtle geometry is a local, intrinsic geometry; the turtle knows nothing of the extrinsic, global geometry of the external world. The turtle can draw a circle, but the turtle has no idea where the center of the circle might be or even that there is such a concept as a center, a point outside her path around the circumference. These two shortcomings -- no memory and no knowledge of the outside world -- often make the turtle cumbersome to program.
    [Show full text]
  • Essential Concepts of Projective Geomtry
    Essential Concepts of Projective Geomtry Course Notes, MA 561 Purdue University August, 1973 Corrected and supplemented, August, 1978 Reprinted and revised, 2007 Department of Mathematics University of California, Riverside 2007 Table of Contents Preface : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : i Prerequisites: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :iv Suggestions for using these notes : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :v I. Synthetic and analytic geometry: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :1 1. Axioms for Euclidean geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 2. Cartesian coordinate interpretations : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 2 3 3. Lines and planes in R and R : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 II. Affine geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 1. Synthetic affine geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 2. Affine subspaces of vector spaces : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 13 3. Affine bases: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :19 4. Properties of coordinate
    [Show full text]
  • References Finite Affine Geometry
    MATHEMATICS S-152, SUMMER 2005 THE MATHEMATICS OF SYMMETRY Outline #7 (Finite Affine Geometry) References • Bennett, Affine and Projective Geometry, Chapter 3. This book, avail- able in Cabot Library, covers all the proofs and has nice diagrams. • “Faculty Senate Affine Geometry” (attached). This has all the steps for each proof, but no diagrams. There are numerous references to diagrams on the course web site; however, and the combination of this document and the web site should be all that you need. • The course web site, AffineDiagrams folder. This has links that bring up step-by-step diagrams for all key results. These diagrams will be available in class, and you are welcome to use them instead of drawing new diagrams on the blackboard. • The Windows application program, affine.exe, which can be down- loaded from the course web site. • Data files for the small, medium, and large affine senates. These ac- company affine.exe, since they are data files read by that program. The file affine.zip has everything. • PHP version of the affine geometry software. This program, written by Harvard undergraduate Luke Gustafson, runs directly off the web and generates nice diagrams whenever you use affine geometry to do arithmetic. It also has nice built-in documentation. Choose the PHP- Programs folder on the web site. Finite Affine Geometry 1. State the first four of the five axioms for a finite affine plane, using the terms “instructor” and “committee” instead of “point” and “line.” For A4 (Desargues), draw diagrams (or show the ones on the web site) to 1 illustrate the two cases (three parallel lines and three concurrent lines) in the Euclidean plane.
    [Show full text]
  • A Survey of the Development of Geometry up to 1870
    A Survey of the Development of Geometry up to 1870∗ Eldar Straume Department of mathematical sciences Norwegian University of Science and Technology (NTNU) N-9471 Trondheim, Norway September 4, 2014 Abstract This is an expository treatise on the development of the classical ge- ometries, starting from the origins of Euclidean geometry a few centuries BC up to around 1870. At this time classical differential geometry came to an end, and the Riemannian geometric approach started to be developed. Moreover, the discovery of non-Euclidean geometry, about 40 years earlier, had just been demonstrated to be a ”true” geometry on the same footing as Euclidean geometry. These were radically new ideas, but henceforth the importance of the topic became gradually realized. As a consequence, the conventional attitude to the basic geometric questions, including the possible geometric structure of the physical space, was challenged, and foundational problems became an important issue during the following decades. Such a basic understanding of the status of geometry around 1870 enables one to study the geometric works of Sophus Lie and Felix Klein at the beginning of their career in the appropriate historical perspective. arXiv:1409.1140v1 [math.HO] 3 Sep 2014 Contents 1 Euclideangeometry,thesourceofallgeometries 3 1.1 Earlygeometryandtheroleoftherealnumbers . 4 1.1.1 Geometric algebra, constructivism, and the real numbers 7 1.1.2 Thedownfalloftheancientgeometry . 8 ∗This monograph was written up in 2008-2009, as a preparation to the further study of the early geometrical works of Sophus Lie and Felix Klein at the beginning of their career around 1870. The author apologizes for possible historiographic shortcomings, errors, and perhaps lack of updated information on certain topics from the history of mathematics.
    [Show full text]
  • 1 Euclidean Geometry
    Dr. Anna Felikson, Durham University Geometry, 16.10.2018 Outline 1 Euclidean geometry 1.1 Isometry group of Euclidean plane, Isom(E2). A distance on a space X is a function d : X × X ! R,(A; B) 7! d(A; B) for A; B 2 X satisfying 1. d(A; B) ≥ 0 (d(A; B) = 0 , A = B); 2. d(A; B) = d(B; A); 3. d(A; C) ≤ d(A; B) + d(B; C) (triangle inequality). We will use two models of Euclidean plane: p 2 2 a Cartesian plane: f(x; y) j x; y 2 Rg with the distance d(A1;A2) = (x1 − x2) + (y1 − y2) ; a Gaussian plane: fz j z 2 Cg, with the distance d(u; v) = ju − vj. Definition 1.1. A Euclidean isometry is a distance-preserving transformation of E2, i.e. a map f : E2 ! E2 satisfying d(f(A); f(B)) = d(A; B). Thm 1.2. (a) Every isometry of E2 is a one-to-one map. (b) A composition of any two isometries is an isometry. (c) Isometries of E2 form a group (denoted Isom(E2)) with composition as a group operation. Example 1.3: Translation, rotation, reflection in a line, glide reflection are isometries. Definition 1.4. Let ABC be a triangle labelled clock-wise. An isometry f is orientation-preserving if the triangle f(A)f(B)f(C) is also labelled clock-wise. Otherwise, f is orientation-reversing. Proposition 1.5. (correctness of Definition 1.12) Definition 1.4 does not depend on the choice of the triangle ABC.
    [Show full text]
  • Affine Geometry, Visual Sensation, and Preference For
    S S symmetry Article Affine Geometry, Visual Sensation, and Preference for Symmetry of Things in a Thing Birgitta Dresp-Langley ICube Laboratory UMR 7357 CNRS, University of Strasbourg, Strasbourg 67000, France; [email protected] Academic Editor: Marco Bertamini Received: 4 August 2016; Accepted: 9 November 2016; Published: 14 November 2016 Abstract: Evolution and geometry generate complexity in similar ways. Evolution drives natural selection while geometry may capture the logic of this selection and express it visually, in terms of specific generic properties representing some kind of advantage. Geometry is ideally suited for expressing the logic of evolutionary selection for symmetry, which is found in the shape curves of vein systems and other natural objects such as leaves, cell membranes, or tunnel systems built by ants. The topology and geometry of symmetry is controlled by numerical parameters, which act in analogy with a biological organism’s DNA. The introductory part of this paper reviews findings from experiments illustrating the critical role of two-dimensional (2D) design parameters, affine geometry and shape symmetry for visual or tactile shape sensation and perception-based decision making in populations of experts and non-experts. It will be shown that 2D fractal symmetry, referred to herein as the “symmetry of things in a thing”, results from principles very similar to those of affine projection. Results from experiments on aesthetic and visual preference judgments in response to 2D fractal trees with varying degrees of asymmetry are presented. In a first experiment (psychophysical scaling procedure), non-expert observers had to rate (on a scale from 0 to 10) the perceived beauty of a random series of 2D fractal trees with varying degrees of fractal symmetry.
    [Show full text]
  • Notes on Geometry and Spacetime Version 2.7, November 2009
    Notes on Geometry and Spacetime Version 2.7, November 2009 David B. Malament Department of Logic and Philosophy of Science University of California, Irvine [email protected] Contents 1 Preface 2 2 Preliminary Mathematics 2 2.1 Vector Spaces . 3 2.2 Affine Spaces . 6 2.3 Metric Affine Spaces . 15 2.4 Euclidean Geometry . 21 3 Minkowskian Geometry and Its Physical Significance 28 3.1 Minkowskian Geometry { Formal Development . 28 3.2 Minkowskian Geometry { Physical Interpretation . 39 3.3 Uniqueness Result for Minkowskian Angular Measure . 51 3.4 Uniqueness Results for the Relative Simultaneity Relation . 56 4 From Minkowskian Geometry to Hyperbolic Plane Geometry 64 4.1 Tarski's Axioms for first-order Euclidean and Hyperbolic Plane Geometry . 64 4.2 The Hyperboloid Model of Hyperbolic Plane Geometry . 69 These notes have not yet been fully de-bugged. Please read them with caution. (Corrections will be much appreciated.) 1 1 Preface The notes that follow bring together a somewhat unusual collection of topics. In section 3, I discuss the foundations of \special relativity". I emphasize the invariant, \geometrical approach" to the theory, and spend a fair bit of time on one special topic: the status of the relative simultaneity relation within the theory. At issue is whether the standard relation, the one picked out by Einstein's \definition" of simultaneity, is conventional in character, or is rather in some significant sense forced on us. Section 2 is preparatory. When the time comes, I take \Minkowski space- time" to be a four-dimensional affine space endowed with a Lorentzian inner product.
    [Show full text]
  • Foundations and Finite Geometries MATH 3120, Spring 2016
    Geometry: Foundations and Finite Geometries MATH 3120, Spring 2016 1 Axiomatic Systems Consider a proof of a theorem in mathematics, say, the Pythagorean Theorem. Mathematicians cannot prove this theorem is true everywhere, all the time. Mathematicians can only operate within a given set of ground rules. Primitive ideas must be assumed to be true, not proven. More advanced theorems are built upon the basics, but different sets of primitive ideas are possible. Formal axiomatics take a subject and analyze the best set of primitive ideas and convert them into undefined terms, defined terms and axioms. Upon this foundation, every single result, theorem and lemma must rely. Each must be proven in turn starting from the most basic to the most advanced. Geometry is typically studied as an axiomatic system, but we must be very careful how we choose. Tiny changes in one axiom can completely alter the theorems that can be proven. 1.1 The Axiomatic Method An axiomatic system must contain a set of technical terms that are deliberately chosen as undefined terms and are subject to the interpretation of the reader. All other technical terms of the system are defined terms whose definition rely upon the undefined terms. The axioms of the system are a set of statements dealing with the defined and undefined terms and will remain unproven. The word \postulate" is a synonym and is often used in place of the word axiom. Euclid, for example, used postulates rather than axioms. All other statements must be logical consequences of the axioms. These derived statements are called the theorems of the axiomatic system.
    [Show full text]